# github-repository-analyzer

> github-repository-analyzer — 01aniket-github-repository-analyzer. Use this tool when you need to analyze GitHub repositories using natural language, solving problems such as retrieving repository metadata, searching source code, and reading files. It takes in natural-language queries as input and outputs relevant information grounded in the actual repository content. Ideal for use cases where automated insights into GitHub repositories are required, such as project monitoring or code review.

Canonical page: https://skillsregistry.net/skills/01aniket-github-repository-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/01aniket-github-repository-analyzer

## Description

Enables natural-language analysis of GitHub repositories by exposing repository metadata, source code retrieval, search, and file reading as MCP tools, with answers grounded in the actual repository content.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/thwqilz6i8)
- **Repository:** <https://github.com/01Aniket/github-repository-analyzer>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "01aniket-github-repository-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/01aniket-github-repository-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/01aniket-github-repository-analyzer/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt